It-Jim

It-Jim was hired by the Austrian startup, mo energy systems GmbH, to develop an iOS app for visualizing PV modules on building facades. The team developed moCore, an application that enabled users to capture facade images, input personal details, select facade material, and visualize PV panel layouts among other features. The backend services for user interaction, data management, and report generation were also built by It-Jim. The final MVP of moCore was successfully built, tested, and deployed via TestFlight for both iPhone and iPad. The client chose It-Jim due to their high ratings, budget-friendly pricing, and alignment with their company values.

For Saylss, an audio software company, It-Jim was tasked with building an AI-powered pipeline capable of automatically detecting and muting specific vocal lines in songs without distorting the original music. They delivered a production-quality beta version of the AI-powered audio software, deployed on an AWS instance. The code was updated to enhance the quality for specific moments in songs, and a mechanism was put in place to control GPU usage for efficient resource utilization. It-Jim was selected for their high ratings, budget-friendly pricing, and company culture fit.

It-Jim was engaged by GlowUp, an app publishing company, to build a fast, efficient AI pipeline to generate high-quality avatars from user photos. The goal was to create new images based on facial features, optimizing the entire image generation process for low compute and storage use. It-Jim was responsible for every machine-learning task behind their AI-avatar app, including exploring diffusion techniques, crafting an image dataset, fine-tuning Stable Diffusion with LoRA, and building cloud-based inference workflows. They also provided technical documentation and hand-over workshops. GlowUp chose It-Jim for their high ratings, company culture fit, and expertise.